Last century Greenland ice sheet surface mass balance projections from IPCC AR4 global models
Results from atmosphere-ocean general circulation models (AOGCM's) for the IPCC 4th Assessment Report are used to investigate surface mass balance (SMB) future projections of the Greenland ice sheet (GrIS). The most efficient models for the GrIS climate modeling are chosen by comparison between...
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ftorbi:oai:orbi.ulg.ac.be:2268/59536 2024-10-20T14:09:03+00:00 Last century Greenland ice sheet surface mass balance projections from IPCC AR4 global models Franco, Bruno Fettweis, Xavier Erpicum, Michel Laboratoire de Climatologie et Topoclimatologie 2008-04 https://orbi.uliege.be/handle/2268/59536 en eng https://orbi.uliege.be/handle/2268/59536 info:hdl:2268/59536 European Geosciences Union General Assembly 2008, Vienna, Austria [AT], avril 2008 Greenland ice sheet surface mass balance IPCC AR4 models Physical chemical mathematical & earth Sciences Earth sciences & physical geography Physique chimie mathématiques & sciences de la terre Sciences de la terre & géographie physique conference poster not in proceedings http://purl.org/coar/resource_type/c_18co info:eu-repo/semantics/conferencePoster 2008 ftorbi 2024-09-27T07:01:41Z Results from atmosphere-ocean general circulation models (AOGCM's) for the IPCC 4th Assessment Report are used to investigate surface mass balance (SMB) future projections of the Greenland ice sheet (GrIS). The most efficient models for the GrIS climate modeling are chosen by comparison between the 1970-1999 outputs (averages and trends) from the 20C3M Experiment outputs, and the reanalyses (ECMWF, NCEP) as well as climatologies. The SMB is estimated from the summer temperature (from which is deduced the run-off) and annual snowfall from the well-adapted AOGCM's. It is validated with 1970-1999 results from the regional climate model MAR by interpolating the AOGCM's outputs on the MAR grid. However, large uncertainties remain in these SMB projections due to the simplified physic and coarse AOGCM's resolution. High resolution simulations made with the MAR model (which simulates explicitly the SMB by taking into account the surface feedbacks) forced at its boundaries by a GrIS well-adapted AOGCM could bring more precise brief replies. Conference Object Greenland Ice Sheet University of Liège: ORBi (Open Repository and Bibliography) Greenland |
institution |
Open Polar |
collection |
University of Liège: ORBi (Open Repository and Bibliography) |
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ftorbi |
language |
English |
topic |
Greenland ice sheet surface mass balance IPCC AR4 models Physical chemical mathematical & earth Sciences Earth sciences & physical geography Physique chimie mathématiques & sciences de la terre Sciences de la terre & géographie physique |
spellingShingle |
Greenland ice sheet surface mass balance IPCC AR4 models Physical chemical mathematical & earth Sciences Earth sciences & physical geography Physique chimie mathématiques & sciences de la terre Sciences de la terre & géographie physique Franco, Bruno Fettweis, Xavier Erpicum, Michel Last century Greenland ice sheet surface mass balance projections from IPCC AR4 global models |
topic_facet |
Greenland ice sheet surface mass balance IPCC AR4 models Physical chemical mathematical & earth Sciences Earth sciences & physical geography Physique chimie mathématiques & sciences de la terre Sciences de la terre & géographie physique |
description |
Results from atmosphere-ocean general circulation models (AOGCM's) for the IPCC 4th Assessment Report are used to investigate surface mass balance (SMB) future projections of the Greenland ice sheet (GrIS). The most efficient models for the GrIS climate modeling are chosen by comparison between the 1970-1999 outputs (averages and trends) from the 20C3M Experiment outputs, and the reanalyses (ECMWF, NCEP) as well as climatologies. The SMB is estimated from the summer temperature (from which is deduced the run-off) and annual snowfall from the well-adapted AOGCM's. It is validated with 1970-1999 results from the regional climate model MAR by interpolating the AOGCM's outputs on the MAR grid. However, large uncertainties remain in these SMB projections due to the simplified physic and coarse AOGCM's resolution. High resolution simulations made with the MAR model (which simulates explicitly the SMB by taking into account the surface feedbacks) forced at its boundaries by a GrIS well-adapted AOGCM could bring more precise brief replies. |
author2 |
Laboratoire de Climatologie et Topoclimatologie |
format |
Conference Object |
author |
Franco, Bruno Fettweis, Xavier Erpicum, Michel |
author_facet |
Franco, Bruno Fettweis, Xavier Erpicum, Michel |
author_sort |
Franco, Bruno |
title |
Last century Greenland ice sheet surface mass balance projections from IPCC AR4 global models |
title_short |
Last century Greenland ice sheet surface mass balance projections from IPCC AR4 global models |
title_full |
Last century Greenland ice sheet surface mass balance projections from IPCC AR4 global models |
title_fullStr |
Last century Greenland ice sheet surface mass balance projections from IPCC AR4 global models |
title_full_unstemmed |
Last century Greenland ice sheet surface mass balance projections from IPCC AR4 global models |
title_sort |
last century greenland ice sheet surface mass balance projections from ipcc ar4 global models |
publishDate |
2008 |
url |
https://orbi.uliege.be/handle/2268/59536 |
geographic |
Greenland |
geographic_facet |
Greenland |
genre |
Greenland Ice Sheet |
genre_facet |
Greenland Ice Sheet |
op_source |
European Geosciences Union General Assembly 2008, Vienna, Austria [AT], avril 2008 |
op_relation |
https://orbi.uliege.be/handle/2268/59536 info:hdl:2268/59536 |
_version_ |
1813448465883070464 |